Triple
T27086607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smerch |
E686049
|
entity |
| Predicate | rocketTypes |
P162505
|
FINISHED |
| Object | anti-tank submunitions |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: anti-tank submunitions | Statement: [Smerch, rocketTypes, anti-tank submunitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rocketTypes Context triple: [Smerch, rocketTypes, anti-tank submunitions]
-
A.
rocketTypes
chosen
Indicates that one entity is a type or category of rocket to which the other entity belongs.
-
B.
rocketVariant
Indicates a specific version or configuration of a given rocket.
-
C.
coreLaunchVehicle
Indicates that one entity serves as the primary launch vehicle used to propel another entity (such as a payload or mission) into space.
-
D.
rocketCaliber
Indicates the diameter or size classification of a rocket, typically specifying the width of its body or projectile.
-
E.
spaceflightType
Indicates the specific category or mode of spaceflight associated with an entity, such as orbital, suborbital, interplanetary, or other mission types.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 8:38 a.m.